From Chunks to Functional Evidence: Function-Aware Retrieval for EDA Documentation QA
Retrieval-Augmented Generation (RAG) is widely used to ground answers in documents. For complex technical documentation, however, the primary bottleneck is often not model reasoning but a mismatch between a query and the way knowledge is organized for retrieval. This mismatch is pronounced in Electronic Design Automation (EDA) documentation, where the information needed for an answer is scattered across heterogeneous yet tightly coupled artifacts. We therefore redesign the basic retrieval unit of RAG. Instead of operating on isolated chunks or binary relations, we collect typed artifacts into EDA functional units. Each unit is recorded as a hyperedge with links to its source chunks. We th...
| Authors | Xiaotian Qiu, Kairui Liu, Shi Chenyi et al. |
|---|---|
| Primary category | cs.IR |
| Published | 7 October 2026 |
| Last updated at source | 7 October 2026 |
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